Quality assurance · Production

Sourcegraph Code Search and Batch Changes projected to save Nine 1200 hours and $276K in six months

The problem

Nine's developers could not search for code patterns and dependencies across their hundreds of repositories, making critical information time-consuming to find. Engineers also had to manually create hundreds of pull requests for uniform changes, and significant code duplication across microservices was difficult to manage.

Workflow diagram · grounded in source

Developer searches codebase

trigger

“Nine's developers weren't able to search for code patterns and dependencies across their repositories. The search capabilities across their hundreds of repositories were limiting, making it time-consuming to find crucial information.”

Code Search finds relevant code

ai_action

“Sourcegraph's robust search capabilities empowered developers to pinpoint relevant code snippets, manage dependencies, and access critical information dispersed across multiple repositories and code hosts”

Identify security vulnerabilities

validation

“Code Search plays a crucial role in identifying potential vulnerabilities, enabling rapid and scalable fixes for enhanced security and peace of mind”

Script and automate batch changes

integration

“Instead of creating hundreds of PRs for uniform changes, engineers automated their workflow through scripted batch changes for repetitive tasks. This saves a substantial amount of time and reduces the risk of human errors during the proc…”

Changesets opened across repos

output

“automating opening changesets across multiple repositories and codehosts”

Reported outcome

Sourcegraph is projected to save Nine's Platform Engineering team up to 1200 hours annually and $276K in six months, while producing a remarkable boost in developer productivity, reducing the risk of human errors, and enabling rapid fixes for security vulnerabilities.

Reported metrics

Developer hours saved annuallyup to 1200 hours annually

Cost savings in six months$276K

Query response time example5 seconds flat

Time savings for repetitive changessaves a substantial amount of time

Reported stack

SourcegraphCode SearchBatch Changescode monitoringAWSKubernetes

Source

https://sourcegraph.com/case-studies/how-sourcegraph-transformed-nine-development-workflow

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Sourcegraph is projected to save Nine's Platform Engineering team up to 1200 hours annually and $276K in six months, while producing a remarkable boost in developer productivity, reducing the risk of human errors, and…

What tools did this team use?

Sourcegraph, Code Search, Batch Changes, code monitoring, AWS, Kubernetes.

What results were reported?

Developer hours saved annually: up to 1200 hours annually; Cost savings in six months: $276K; Query response time example: 5 seconds flat; Time savings for repetitive changes: saves a substantial amount of time (source-reported, not independently verified).

How is this quality assurance AI workflow structured?

Developer searches codebase → Code Search finds relevant code → Identify security vulnerabilities → Script and automate batch changes → Changesets opened across repos.